摘要：When operating a compressor station, given its mass flow rate, inlet pressure and temperature, and discharge pressure, dispatchers need to decide which compressors to run and at what flow rates, i.e., the operating scheme of the station, to cut its energy costs. This paper addresses this problem under unsteady states. This means that at least one of the four given operating parameters is time-dependent, and therefore so is the operating scheme. The key constraints of the problem are the minimum uptime and downtime of each compressor, which interconnect the operating schemes at each time step and complicate the problem. The energy cost of a compressor unit is almost a linear function of its flow rate for a given inlet pressure, inlet temperature, and discharge pressure. Therefore, the optimization problem was formulated as a mixed integer linear programming (MILP) model, which was solved by CPLEX. The optimal operating schemes given by CPLEX were simulated to reevaluate the objective function, and the error of the linearized energy cost model was shown to be within 5%. The recalculated objective function values were 0.22%-1.18% higher than those of the true optimum. However, the MILP method was 0.49-64.95 times faster than the dynamic programming approach yielding global optimal solutions.
© 2016 Elsevier B.V.

ISSN号：1875-5100

卷、期、页：v 30,p338-342

发表日期：2016-03-01

影响因子：0.000000

收录情况：SCIE（科学引文索引网络版）,ESI（基本科学指标数据库）,EI（工程索引）

发表期刊名称：Journal of Natural Gas Science and Engineering

通讯作者：张晓瑞,吴长春,于阳

第一作者：左丽丽

论文类型：期刊论文

论文概要：左丽丽,张晓瑞,吴长春,于阳，Unit commitment for a compressor station by mixed integer linear programming，Journal of Natural Gas Science and Engineering，2016，v 30,p338-342

论文题目：Unit commitment for a compressor station by mixed integer linear programming